This workshop will bring together researchers and professionals from different domains to discuss key issues in the implementation, evaluation and practical use of context for the development of smart objects, services, and applications that are useful, usable, and desirable in domestic settings. We welcome work on core enabling technologies such as hardware and software infrastructures that support, include or use context, open data for context benchmarking, bottom-up VS top-down approaches to context modeling, machine learning for human intention and activity recognition as well as for detecting exceptions to routines. We also invite work that addresses context from an end-user’s experience including intelligible context representation, controllability and inspectability of learning mechanisms, privacy and trust, as well as lessons learned from real world experiments. At the end of the workshops, we expect to get insights on:

which infrastructure is best suited for efficient context processing for the home; and

how to combine declarative context (e.g. with end user development) and computed context (AI, machine learning)

Applications connected to societal issues such as health and well-being, energy and water consumption, waste, and persuasive systems, are welcome.

SUBMISSION PROCEDURE

Papers should be formatted according to the templates in either LATEX or Word format downloaded from the Springer LNAI website. They should not be more than 14 pages.

They must be electronically submitted on the EasyChair Conference System